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Calcrivo

Monitoring Coverage Calculator

Calculate the percentage of services covered by active monitoring and estimate how many services have visibility gaps.

Inputs

services

Total number of distinct services/applications in your environment.

services

Services with active metrics scraping, dashboards and alerting configured.

services

Subset of services classified as business-critical (higher bar for monitoring completeness).

services

How many of the critical services actually have monitoring in place.

Overall Monitoring Coverage

71.8%

Critical Service Coverage

95.0%

Services With No Monitoring

24services

Critical Services With No Monitoring

1services

Rating

Gap in critical service coverage — highest priority to fix

Step by step

  1. Uncovered services

    85 − 61

    = 24 services

  2. Overall coverage: monitored / total × 100

    61 / 85 × 100

    = 71.8%

  3. Critical service coverage

    19 / 20 × 100

    = 95.0%

  4. Rating

    based on gaps and coverage thresholds

    = Gap in critical service coverage — highest priority to fix

How it works

Overall coverage = monitored_services / total_services × 100, but treating all services as equally important hides the highest-risk gaps — a service classified as business-critical with no monitoring is a much bigger operational risk than a low-traffic internal tool with no monitoring. This calculator reports both the overall coverage percentage and a separate critical-service coverage figure, and flags any gap in critical coverage as the top-priority finding regardless of overall percentage.

Formula

coverage_percent = (monitored_services / total_services) × 100

monitored_services
Services with active monitoring (metrics, alerts, dashboards)
total_services
Total services in the platform

Frequently Asked Questions

Why treat critical service gaps as automatically top priority?

A single unmonitored critical service can cause a major undetected outage, while many unmonitored low-priority services collectively pose less risk — prioritizing by business impact rather than raw percentage avoids spending effort on low-value instrumentation while critical blind spots persist.

What counts as 'monitored' for this calculator?

This model treats a service as monitored if it has active metrics scraping, at least a basic dashboard, and some alerting — a service with only logs but no metrics/alerts, or only a dashboard nobody's alerting on, arguably shouldn't count as fully covered.

How do I find unmonitored services in practice?

Cross-reference your service catalog/CMDB or Kubernetes namespace list against your Prometheus service-discovery targets or Grafana dashboard list — services present in the former but absent from the latter are your gap list.

Does 100% coverage mean monitoring is 'done'?

No — coverage measures breadth (is there *any* monitoring) not depth or quality (are the right SLIs tracked, are alerts well-tuned). Pair this metric with alert noise score and SLI/SLO tracking for a fuller picture of monitoring maturity.

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